Supply-Chain Inventory Data Synchronization Across Disparate Systems

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Solution Overview

Problem

Existing inventory tracking systems across supply chains are inefficient and disconnected, leading to inaccurate, incomplete, and out-of-date information, causing computational inefficiencies, poor consumer experiences, and inventory inefficiencies such as overstocking and understocking.

Innovation Solution

An automated tracking and analysis system that facilitates inter-device communication and data access across disparate systems, enabling real-time inventory tracking and synchronization across multiple levels of a supply chain network, providing accurate and up-to-date inventory information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual data transfer between disconnected systems is used, then data can be exchanged between entities, but substantial computing resources, bandwidth, and computer storage are consumed

Engineering Contradiction:

Improvedata exchange capabilityVSAvoidcomputing resources

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent merges previously disconnected inventory management systems into a unified cloud-based platform where multiple entities (brands, distributors, retailers) can access and share inventory data through a common interface, eliminating the need for separate manual data transfer processes between disparate systems

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The cloud-based inventory management system acts as an intermediary platform that facilitates automatic data exchange between disconnected entities, replacing manual transfer processes and reducing the computing resources required for data synchronization

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If disconnected systems are used for inventory tracking, then each entity maintains independence, but computing devices lack up-to-date and accurate information and are slower

Engineering Contradiction:

Improvesystem independenceVSAvoiddata access speed

Core Design Contradiction:

Adaptability or versatilityVSSpeed

Solution Approach 1:

The system transitions from static, disconnected inventory data to dynamic, real-time inventory tracking where inventory levels are automatically updated and synchronized across all connected entities, enabling fast access to current inventory information while maintaining system flexibility

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The cloud-based platform provides universal access to inventory data for multiple types of entities (brands, distributors, retailers) simultaneously, enabling all users to access up-to-date inventory information at high speed while maintaining their operational independence

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Quantity of substance

If separate inventory tracking systems are used by each entity, then data can be stored locally, but it is very difficult to determine where inventory is or is not selling and stock availability

Engineering Contradiction:

Improvelocal data storageVSAvoidinventory visibility

Core Design Contradiction:

Quantity of substanceVSLoss of information

Solution Approach 1:

The patent combines locally stored inventory data from multiple entities into a unified cloud-based inventory database, enabling centralized visibility of inventory across the entire supply chain while preserving local data storage capabilities through cloud synchronization

Inventive Principle:

Principle #5Merging (Combining)

4Extent of automation

If manual inventory tracking is used, then employee time and computer resources are consumed, but automated tracking across disparate systems is not achieved

Engineering Contradiction:

Improveinventory tracking capabilityVSAvoidemployee time

Core Design Contradiction:

Extent of automationVSLoss of time

Solution Approach 1:

The cloud-based inventory management system enables automatic, self-service inventory tracking where the system automatically synchronizes inventory data between entities without requiring manual intervention, eliminating the need for employee time while achieving comprehensive automated tracking across previously disparate systems

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12481955B2Intelligent inventory tracking across supply-chain networks

Publication Date: 2025.11.25 TRACKFLY INC

AI summary

An intelligent supply-chain wide tracking and analysis system is described. In some instances, the system may receive variant data describing a variant of a product from a first client system, generate a variant profile based on the variant data, and determine a connection definition specific to the variant profile and defining a connection between the first client system and a second system. The system may provide access to a first data field containing data in the client profile from the first client system to the second client system based on the connection definition. The system may also receive an inventory value for the variant from the second client system and, using the variant profile and connection definition, provide access to the inventory value to the first client system.